A current problem in NLP is massaging and processing low-resource languages which lack
useful training attributes such as supervised data, number of native speakers or experts, etc …

Vehicle electrification has emerged as a global strategy to address climate change and
emissions externalities from the transportation sector. Deployment of charging infrastructure …

In today's global digital landscape, misinformation transcends linguistic boundaries, posing
a significant challenge for moderation systems. While significant advances have been made …

Due to the massive adoption of mobile money in Sub-Saharan countries, the global
transaction value of mobile money exceeded 2 billion in 2021. Projections show transaction …

As the volume and complexity of forced movement continues to grow, there is an urgent
need to use new data sources to better understand emerging crises. Organic sources, like …

Deep neural network (DNN)-based systems generally require large amounts of training
data, so they have data scarcity problems in low-resource languages. Recent studies have …

In today's communications, Short Message Service (SMS) and Internet protocol-based
messaging systems are the most widely used channels. These services are currently the …

Cyberbullying poses a digital threat to society. In this survey, we explain what cyberbullying
is and its various forms. We focus on social media platforms and instant messaging apps …

In this paper, a novel cross-lingual adaptation framework called CAM is presented for low-
resource language speech recognition (LLSR). It is based on the recent popular adapter …

With the recent developments in speech synthesis via machine learning, this study explores
incorporating linguistics knowledge to visualise and evaluate synthetic speech model …